论文标题
唐纳德·鸭（Donald Duck）假期游戏：对鹅角色扮演变体游戏的数字分析
Donald Duck Holiday Game: A numerical analysis of a Game of the Goose role-playing variant
论文作者
论文摘要
1996年的唐纳德·鸭（Donald Duck）假日游戏是鹅历史游戏的角色扮演变体，涉及具有独特属性，事件正方形和随机活动卡的角色。游戏的目的是在任何其他玩家之前到达露营。我们开发了一个蒙特卡洛模拟模型，该模型会自动玩游戏并能够分析其关键特征。我们评估与每种可玩性相关的各种指标的游戏。数值分析表明，根据玩家的数量，游戏平均需要69至123轮才能完成。但是，一小时内的持续时间（转化为人类游戏时间）超过25％，这可能会降低游戏体验的质量。此外，我们表明两个字符比其他三个角色可能赢得大约30％，这主要是由于暴露于更少的随机事件。我们认为，角色扮演游戏的更丰富的叙述可能会延长游戏仍然令人愉悦的持续时间，以便无法将指标直接与传统的游戏游戏进行比较。基于我们的分析，我们提供了几种建议，以通过轻微的修改来提高游戏平衡。从广义上讲，我们证明了基本的蒙特卡洛模拟足以分析愚蠢的角色扮演游戏变体，验证它们如何在有助于愉快游戏的标准上得分并检测到可能的异常。
The 1996 Donald Duck Holiday Game is a role-playing variant of the historical Game of the Goose, involving characters with unique attributes, event squares, and random event cards. The objective of the game is to reach the camping before any other player does. We develop a Monte Carlo simulation model that automatically plays the game and enables analyzing its key characteristics. We assess the game on various metrics relevant to each playability. Numerical analysis shows that, on average, the game takes between 69 and 123 rounds to complete, depending on the number of players. However, durations over one hour (translated to human play time) occur over 25% of the games, which might reduce the quality of the gaming experience. Furthermore, we show that two characters are about 30% likely to win than the other three, primarily due to being exposed to fewer random events. We argue that the richer narrative of role-playing games may extend the duration for which the game remains enjoyable, such that the metrics cannot directly be compared to those of the traditional Game-of-the-Goose. Based on our analysis, we provide several suggestions to improve the game balance with only slight modifications. In a broader sense, we demonstrate that a basic Monte Carlo simulation suffices to analyze Game-of-the-Goose role-playing variants, verify how they score on criteria that contribute to an enjoyable game, and detect possible anomalies.
